中国计量大学学报2026，Vol.37Issue(1)：32-39,98,9.DOI:10.3969/j.issn.2096-2835.2026.01.004
基于改进霍夫-极坐标变换的圆形指示表表盘刻度自适应识别算法
An adaptive recognition algorithm for circular dial scale marks based on improved Hough-polar transform
摘要
Abstract
Aims:Aiming at the difficulties in the reading recognition of circular indicator gauge dial images caused by uneven scale distribution,tiny pointer structure,blurred edges,low contrast and uneven illumination,this paper proposed a high-precision automatic reading method.Methods:Firstly,Gaussian filtering was employed to preprocess the images so as to suppress noise and enhance edge features.Then,the Hough circle transform was used to preliminarily locate the dial region;and the least squares method was adopted to optimize the parameters of the circle center and radius.The circular dial was converted into a rectangular image through polar coordinate transformation,which simplified the geometric relationship between the pointer and the scales.Finally,Otsu adaptive threshold segmentation,image inversion and the Canny operator were used to achieve feature enhancement and edge detection;and the pointer angle was extracted via column-direction projection to realize automatic reading.Results:Experiments of 6 instruments gauge images showed that the average absolute error was 0.10 and the average relative error was 1.46％.Conclusions:The results demonstrate that the proposed method has high recognition accuracy and good engineering application value.关键词
圆形指示表/改进霍夫圆变换/极坐标展开/图像识别/指针检测Key words
circular pointer dials/improved Hough circle transform/polar coordinates/image recognition/pointer detection分类
信息技术与安全科学引用本文复制引用
陈欢,郑金航,马腾,杨鹏,孔明,刘璐,楼伟民..基于改进霍夫-极坐标变换的圆形指示表表盘刻度自适应识别算法[J].中国计量大学学报,2026,37(1):32-39,98,9.基金项目
国家市场监督管理总局科技计划项目(No.2023MK225),浙江省市场监督管理局科技计划项目(No.QN2025001) （No.2023MK225）
